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Volume Converter

converters_volume_converter

Convert cooking and liquid volume units: milliliters, liters, cubic meters, US gallons, quarts, pints, cups, fluid ounces, tablespoons and teaspoons. Use this when an agent needs to liters, gallons, cups, milliliters. x402 price $0.01/call (USDC, eip155:8453).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesTo
fromYesFrom
valueYesValue

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry behavioral weight, and it does disclose the x402 payment model ($0.01/call, USDC on eip155:8453), which is real context the schema cannot provide. However, it says nothing about rounding/precision, accepted unit casing, or error behavior for invalid units — meaningful gaps for an unannotated tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The unit list is front-loaded and efficient, but the second sentence is grammatically broken and appears to be damaged boilerplate that consumes space without conveying information. The pricing sentence is useful but tacked on.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple 3-parameter arithmetic tool with no output schema, the description covers the domain surface and payment model adequately, but an agent still cannot predict precision, rounding conventions, or which conversion standard (US vs imperial) applies to units like 'gal' and 'pt' — a real ambiguity given the tool also lists liters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3, but the description adds genuine value by decoding the enum abbreviations into full names (m3=cubic meters, gal=US gallons, qt=quarts, pt=pints, floz=fluid ounces, tbsp=teaspoons vs tsp), which the terse schema descriptions ('To', 'From', 'Value') do not. It still doesn't explain that value is numeric or how to handle ambiguous units like 'cup'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Convert) and resource (cooking and liquid volume units) and enumerates the exact unit families covered, which distinguishes it from converters_weight_converter, converters_temperature_converter and converters_area_converter at a glance. It stops short of explicitly naming those siblings as boundaries, so it lands at 4 rather than 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The only usage sentence is broken: 'Use this when an agent needs to liters, gallons, cups, milliliters.' — it lacks a verb and adds no actionable condition. There is no guidance on when to prefer this over the other converters, and no exclusions or prerequisites beyond the price note.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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